wowojeh111
MyBoerse.bz Pro Member
Opentelemetry Observability For Java Spring Boot Developers
Published 10/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.55 GB | Duration: 11h 24m
Mastering Observability: OpenTelemetry Traces, Metrics, Instrumentation for Production-Grade Java & Spring Boot Systems.
What you'll learn
Understand the core concepts of modern observability and why it goes beyond traditional monitoring
Learn the three pillars of observability: Distributed Traces, Metrics, and Logs
Use the OpenTelemetry Java Agent for zero-code instrumentation to get instant visibility
Explore context propagation and baggage to trace requests across distributed systems
Configure and deploy the OpenTelemetry Collector Pipeline to process, filter, and export telemetry data via OTLP
Manually inject custom spans and attributes into Java code to capture critical business context
Set up a complete observability stack using Grafana, Prometheus, Tempo, and Loki with Docker Compose
Correlate structured Java Spring logs with OpenTelemetry traces for faster issue diagnosis
Implement advanced head and tail sampling strategies to reduce costs without losing critical error traces
Analyze telemetry signals to find root causes, improve performance, and reduce MTTR
Build reusable observability modules for on-demand debugging and production-grade visibility
Requirements
Java
Spring Boot
Docker / Docker Compose
Description
This intensive course is designed for experienced Java Spring Boot Developers ready to transition into a Staff or Principal Engineer role. You will master OpenTelemetry (OTel), the universal cloud-native standard for instrumentation, and gain the architectural expertise to implement world-class observability in complex distributed systems.Move beyond basic monitoring. Learn to collect, correlate, analyze, and visualize the three pillars of modern observability: Distributed Traces, Metrics, and Logs to debug production issues faster, preempt system failures, and build highly reliable, scalable applications.What You Will Maser:Observability Fundamentals: Go beyond traditional monitoring by understanding the Three Pillars: Distributed Traces, Metrics, and Logs and their role in diagnosing unknown system issues.Zero-Code Instrumentation: Instantly gain full-stack visibility by deploying the OpenTelemetry Java Agent for seamless auto-instrumentation on your Spring Boot microservices.End-to-End Trace Context: Master W3C Trace Context Propagation and Baggage to accurately link requests and business context across all services in your distributed architecture.Custom Business Spans: Manually inject custom Spans and Attributes into your Java code to capture rich, domain-specific data points critical for root cause analysis.The OTel Collector Pipeline: Configure and deploy the OpenTelemetry Collector to receive, process, filter, and export all telemetry data using the high-performance OTLP (OpenTelemetry Protocol).Full Observability Stack: Deploy a complete, open-source backend using Grafana, Prometheus, Tempo, and Loki with Docker Compose to store, query, and visualize all collected OTel data.Log-Trace Correlation: Integrate structured Java/Spring logs with OpenTelemetry to instantly connect raw log messages to their full transaction history.Cost-Effective Sampling: Implement smart Head- and Tail-Based Sampling strategies to control observability data volume and storage costs without sacrificing critical error traces.Analyze & Reduce MTTR: Utilize aggregated telemetry signals (Traces, Metrics, Logs) to quickly find root causes, pinpoint performance bottlenecks, and drastically reduce Mean Time to Resolution (MTTR).On Demand Debugging: Build reusable, production-grade observability components to enable on-demand debugging and bring observability earlier into the development workflow.By the end of this course, you will be able to instrument your Spring Boot applications with OpenTelemetry, gain deep visibility into distributed systems, debug issues with clarity, and strengthen your career as an advanced engineer.
Senior developers preparing to grow into Staff Engineer, Principal Engineer, or Architect roles,Java and Spring Boot developers who want to learn and implement observability with OpenTelemetry
eploy a complete, open-source backend usingGrafana, Prometheus, Tempo, and Lokiwith Docker Compose to store, query, and visualize all collected OTel data. 
